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Electronic Commerce Research
Erschienen in: Electronic Commerce Research 3/2019

05.07.2018

The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation

verfasst von: Qihua Liu, Xiaoyu Zhang, Liyi Zhang, Yang Zhao

Erschienen in: Electronic Commerce Research | Ausgabe 3/2019

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Abstract

While ranking systems, electronic word of mouth (eWOM) channels and recommendation systems might appear as three separate tools that influence consumer choice, consumers at online reading platforms are often exposed to all three simultaneously during a searching session of e-books. This study conducts an empirical analysis to examine the interaction effects of these three decision-supporting tools on online reading behavior. To do so, we collect a 25-week panel data set on Yuedu.163.com, which is one of the earliest online reading platforms in China. Our results indicate that informational cascades are particularly prominent on the online reading market. Under the influence of informational cascades, eWOM volume and valence have no impact on the clicks of e-books with high rankings, but have positive impact on the clicks of e-books with low rankings. Recommendation strength has a positive impact on popular e-books clicks, but has no impact on the clicks of less popular e-books. Moreover, we find that eWOM valence and recommendation strength have a substitute relationship in affecting the clicks of e-books with high rankings. However, eWOM and recommendation system have a complementary relationship in affecting the clicks of less popular e-books. To our best knowledge, this paper is the first to investigate the interaction effects of information cascades, eWOM and recommendation systems on online user behavior. Our findings provide important theoretical contributions and managerial implications.
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Metadaten
Titel
The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation
verfasst von
Qihua Liu
Xiaoyu Zhang
Liyi Zhang
Yang Zhao
Publikationsdatum
05.07.2018
Verlag
Springer US
Erschienen in
Electronic Commerce Research / Ausgabe 3/2019
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-018-9312-0

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